Troubleshooting Challenges in Fast-Paced Development Environments
ABOUT THE PANEL
In this discussion we’ll cover:
- New challenges in accelerated pipelines
How to overcome those challenges
An example troubleshooting flow
Hosted by:
Tali Soroker, Director of Content at Coralogix
Guest Speakers:
Oded David, Head of DevSecOps at Coralogix
Itiel Shwartz, Co-founder and CTO at Komodor
Ex-Ebay |Forter|, Rookout. A DevOps expert and technical leader. Constantly pushing the limits of R&D velocity, speed, and confidence. Currently CTO at Komodor, a next-gen troubleshooting platform for Kubernetes.
Itiel Shwartz
Former DevOps team leader at Big Panda & Cisco Systems. Over 10 years of experience in DevOps and team leadership. Specializes in big data and distributed systems.
Oded David
On-Demand Panel Discussion
The widespread adoption of agile methodologies in recent years has allowed organizations to significantly increase the frequency with which they’re able to deliver new software.
Previous development practices revolved heavily around centralized applications and infrequent updates that were shipped maybe once a quarter or even once a year. New accelerated CI/CD pipelines and distributed architectures enable us to introduce new updates at a rate and scale that would have seemed unimaginable just a few years ago.
Of course, along with the benefits of new methodologies and technologies comes a new set of troubleshooting challenges that need to be addressed as well.
In this webinar, we explain how machine learning can be employed within a DevOps team to improve operational performance, optimize mean time to recovery and create a better service for your customers.
Head of DevSecOps at Coralogix
Co-founder and CTO at Komodor
Tali Soroker
Former technical content leader at OverOps and I Know First. Studies theoretical mathematics. Data-driven and passionate about driving growth for breakthrough technologies.
Director of Content at Coralogix
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Coralogix Ltd.